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Article
Publication date: 9 September 2022

Xi Zhang, Yihang Cheng, Juan Liu, Hongke Zhao, Dongming Xu and Yulong Li

Prosocial lending in online crowdfunding has flourished in recent years, and it has become a new way to fundraise for philanthropy. However, there is almost a 70% user…

Abstract

Purpose

Prosocial lending in online crowdfunding has flourished in recent years, and it has become a new way to fundraise for philanthropy. However, there is almost a 70% user attrition rate in crowdfunding. The purpose of this study is to understand what the lender’s lending experience and social connection influence lender retention of online prosocial lending from a self-determination perspective.

Design/methodology/approach

Drawing on self-determination theory (SDT), this research utilizes a quantifiable method for factors of the lender's lending experience and social connection. Additionally, the research constructs economic models to explore the impacts of these factors acting as the necessary conditions for basic psychological needs on lender retention, using a large-scale sample of over 380,000 lenders from Kiva.

Findings

The results indicate that, from the lender's lending experience aspect, the loan narratives with more profit language in the last lending and the failure of past participation are negatively related to lender retention. Regarding the lender's social connection aspect, their friends or small lending teams are positively related to lender retention, while whether they are invited and lending team size show negative influence. Furthermore, results indicate the moderating effects of the disclosure of lending motivation.

Originality/value

This research explores the mechanism of lender retention of online prosocial lending, providing a self-determination perspective about how previous experience influences long-term lending behavior. The study offers significant implications for the literature on online philanthropy, SDT and user retention of online platforms. At the same time, the study provides an understanding of the effects of different aspects of SDT.

Details

Internet Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 15 October 2019

Shan Jiang, Xi Zhang, Yihang Cheng, Dongming Xu, Patricia Ordoñez De Pablos and Xuyan Wang

Social loafing in knowledge contribution (namely, knowledge contribution loafing [KCL]) usually happens in group context, especially in the mobile collaboration tasks. KCL…

Abstract

Purpose

Social loafing in knowledge contribution (namely, knowledge contribution loafing [KCL]) usually happens in group context, especially in the mobile collaboration tasks. KCL shows dynamic features over time. However, most previous studies are based on static assumption, that is, KCL will not change over time. This paper aims to reveal the dynamics of KCL in mobile collaboration and analyze how network centrality influences KCL states considering the current loafing state.

Design/methodology/approach

This study is based on empirical study design. Real mobile collaboration behavioral data related to knowledge contribution were collected to investigate the dynamic relationship between network centrality and KCL. In total, 4,127 chat contents were collected through Slack (a mobile collaboration APP). The text data were first analyzed using the text analysis method and then analyzed by a machine learning method called hidden Markov model.

Findings

First, the results reveal the inner structure of KCL, showing that it has three states (low, medium and high). Second, it is found that network centrality positively influences individuals involved in medium and high loafing state, while it has a negative influence on individuals with low loafing state.

Research limitations/implications

The limitations are related to the single machine learning method and no subdivision of social network. First, this paper only uses one kind of text classification model (TF-IDF) to divide chat contents, which may not be superior to other classification models. This paper considers the eigenvector centrality, and not further divides the social network into advice network and expressive network.

Practical implications

This study helps companies infer tendency of different KCL and dynamically re-organize a mobile collaborative team for better knowledge contribution.

Originality/value

First, previous studies based on static assumptions regarding KCL as static and the relationship between loafing reducing mechanisms and team members KCL does not change over time. This study relaxes static assumptions and allows KCL to change during the process of collaboration. Second, this study allows the impact of network centrality to be different when members are in different KCL states.

Details

Journal of Knowledge Management, vol. 23 no. 9
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 2 December 2022

Xi Zhang, Xuyan Wang, Fangqing Tian, Dongming Xu and Longwei Fan

Feedback-seeking behavior is an important way for individuals to actively seek information feedback to achieve individuals' goals. In the environment driven by contactless…

Abstract

Purpose

Feedback-seeking behavior is an important way for individuals to actively seek information feedback to achieve individuals' goals. In the environment driven by contactless digital technologies, the way of individual feedback-seeking behavior through monitoring indirectly becomes obvious, especially for people who complete the work online in digital collaboration. However, previous empirical research on feedback-seeking behavior mainly focused on direct inquiry. The purpose of this paper is to verify the impact of individual learning goal orientation and the digital feedback environment on individuals' feedback-seeking behaviors through inquiry and monitoring approaches. And the moderating effect of time pressure on these relationships was also investigated.

Design/methodology/approach

Based on socio-technical system theory, this study proposes a model to describe the formation of the two approaches of feedback-seeking behaviors (inquiry and monitoring). The hypotheses were examined with the structural equation model method and data were collected from 152 graduate students who completed online surveys.

Findings

The results show that both the digital feedback environment and learning goal orientation can promote individual inquiry and monitoring approaches of feedback-seeking. Furthermore, time pressure moderates the relationship between the digital feedback environment and feedback monitoring negatively.

Originality/value

This study establishes an antecedent model that influences the choice of feedback-seeking approaches in digital environments from the perspective of a socio-technical system. The empirical results supplement the explanation of the influence of both technical and social factors on individual feedback-seeking behavior in digital environments.

Details

Internet Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 3 April 2009

Shijia Gao, Dongming Xu, Huaiqing Wang and Peter Green

Criminal elements in today's technology‐driven society are using every means available at their disposal to launder the proceeds from their illegal activities. While many

2009

Abstract

Purpose

Criminal elements in today's technology‐driven society are using every means available at their disposal to launder the proceeds from their illegal activities. While many anti‐money laundering (AML) solutions have been in place for some time within the financial community, they face the challenge to adapt to the ever‐changing risk and methods in relation to money laundering (ML). This research seeks to focus on ML control and prevention, which aim to automate the monitoring and diagnosing of ML schemes in order to report suspicious activities to banks.

Design/methodology/approach

The research adopted the technology of intelligent agents to provide a more adaptive, flexible, and knowledge‐based solution for AML.

Findings

Based on the analysis of monitoring, diagnosing, and reporting of ML activities occurring in electronic transactions, several types of intelligent agents are proposed and a multi‐agent framework is presented for AML. Furthermore, business knowledge such as business rules and strategies are extracted from AML practice, and applied to the design of individual agents to make them act autonomously and collaboratively to fulfil the goal of ML detection.

Practical implications

The proposed multi‐agent framework is a stand‐alone system, which can be integrated by banks to combat ML. Although it is a uni‐bank framework at present, it can be extended to multi‐bank application in the future.

Originality/value

The research explores the approach of applying an intelligent agent for knowledge‐based AML in an electronic transaction environment for banks. By separating business logic from the business model, such a business‐rules approach can enhance the flexibility and adaptability of the agent‐based AML system.

Details

Journal of Knowledge Management, vol. 13 no. 2
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 27 May 2014

Hongyun Zhang, Tan Zhang, Haili Cai, Yahui Li, Wayne Wei Huang and Dongming Xu

The purpose of this paper is to help enhance the scholarly conversation about the essential nature of the entrepreneurial orientation (EO) construct, its dimensionality…

1044

Abstract

Purpose

The purpose of this paper is to help enhance the scholarly conversation about the essential nature of the entrepreneurial orientation (EO) construct, its dimensionality and measurement. The authors focus on how EO was defined and measured in various contexts, which is the basis for the proposed five-dimensional EO scale (FDEOS).

Design/methodology/approach

Survey was conducted in design industry in China. A pilot test was conducted with 20 Chinese firms. Questionnaires were sent to 1,200 firms. A total of 408 complete and valid questionnaires were received.

Findings

It was found that a behavior aspect of EO as a second-order reflective model had a greater degree of agreement among scholarly community. As a result, a new FDEOS was proposed from behavioral perspective. Data were collected from 408 firms of design industry in a big developing country.

Originality/value

While five-dimensional EO construct is a well-recognized concept in the literature on entrepreneurship, little is known about its measurement. The research reported in this paper provides support for this assertion and develops a new scale, FDEOS, that designed to be neutral with regard to industry context and type of organization.

Details

Journal of Entrepreneurship in Emerging Economies, vol. 6 no. 2
Type: Research Article
ISSN: 2053-4604

Keywords

Article
Publication date: 15 June 2020

Chen Hao and Chen Hai-tao

The purpose of this paper is to examine and explore the factors that drive users to gift through social network services (SNS).

Abstract

Purpose

The purpose of this paper is to examine and explore the factors that drive users to gift through social network services (SNS).

Design/methodology/approach

A questionnaire method was applied to collect data from the sample of the WeChat users who have used mini-program. This paper employed the partial least squares method and used SmartPLS2.0 to analysis sample data, which examined the validity as well as reliability of the sample and further tested the hypotheses by the path coefficients.

Findings

The empirical results showed that pleasure, social relationship maintenance, convenience and comprehensiveness are significantly related to SNS gifting behavior, and conscientiousness moderates the relationship between intention and behavior in the context of SNS gifting. However, this study cannot find the effect of symbolic representation, impersonality and gift reciprocity motivations.

Research limitations/implications

Theoretically, this study perfects the research of SNS gifting on the lack of exploring characteristics of comprehensiveness. Practically, this paper lends insights on how SNS providers attract users to adopt gifting.

Originality/value

SNS gifting lacks a complete and effective promotion strategy, resulting in a small number of users as well as low profit. Besides, prior studies have focused on tradition gifting and online gifting. Little research talks about gifting on SNS phenomena, and thus it is necessary to perfect the theory of SNS gifting.

Details

Data Technologies and Applications, vol. 54 no. 4
Type: Research Article
ISSN: 2514-9288

Keywords

Article
Publication date: 6 August 2020

Mojtaba Talafidaryani

While the dynamic capabilities perspective is the most cited strategic theory in the information systems field of research, little effort has been made to review and…

1090

Abstract

Purpose

While the dynamic capabilities perspective is the most cited strategic theory in the information systems field of research, little effort has been made to review and integrate the associate literature of this perspective in the field. Accordingly, this paper aims to systematically analyze the information systems literature on dynamic capabilities and provide a holistic understanding of the topical composition and trend of dynamic capabilities studies in information systems research.

Design/methodology/approach

Using latent Dirichlet allocation as the text analysis algorithm, the author conducted a topic modeling of the dynamic capabilities corpus in the information systems field of research to quantitatively review, summarize and classify the prior literature. The review covered 191 articles published on dynamic capabilities between 1998 and 2018 in pioneering information systems journals and conference proceedings.

Findings

In accordance with the topic modeling results, the topical composition of the dynamic capabilities corpus in information systems research dominantly includes seven themes titled T1. Information systems value, T2. Information systems change, T3. Digitalization, T4. Information systems agility, T5. Big data, T6. Information systems innovation and T7. Information systems alignment. Also, the overall and topical trend of dynamic capabilities studies in the information systems field of research were revealed. The trends indicated that the investigated domain and its prominent sub-domains have generally had positive productivity over the past years.

Originality/value

The current study contributes to the domain by developing knowledge and improving literature on dynamic capabilities in information systems research, discovering the main topics of interest for information systems researchers to deploying the dynamic capabilities perspective in their studies, and prioritizing the future information systems research on dynamic capabilities based on the identified trends of topics.

Content available
Article
Publication date: 20 February 2019

Dongming Kong and Qingquan Xin

1655

Abstract

Details

China Finance Review International, vol. 9 no. 1
Type: Research Article
ISSN: 2044-1398

Article
Publication date: 17 July 2019

Yong-Hua Li, Ziqiang Sheng, Pengpeng Zhi and Dongming Li

How to get a lighter and stronger anti-rolling torsion bar has become a barrier for the development of high-speed railway vehicles. The purpose of this paper is to realize…

Abstract

Purpose

How to get a lighter and stronger anti-rolling torsion bar has become a barrier for the development of high-speed railway vehicles. The purpose of this paper is to realize the multi-objective optimization of an anti-rolling torsion bar with a Modified Non-dominated Sorting Genetic Algorithm III (MNSGA-III), which aims to obtain a better design scheme of an anti-rolling torsion bar device.

Design/methodology/approach

First, the Non-dominated Sorting Genetic Algorithm III (NSGA-III) uses a simulated binary crossover (SBX) operator and a polynomial mutation operator, while the MNSGA-III algorithm proposed in this paper introduces an arithmetic crossover and an adaptive mutation operator to change the crossover and mutate operator in NSGA-III. Second, two algorithms are tested by ZDT3, ZDT4 functions. Both algorithms set the same population size and evolutionary generation, and then compare the results of NSGA-III and MNSGA-III. Finally, MNSGA-III is applied to the multi-objective model of an anti-rolling torsion bar which is established by taking the mass and stiffness of the torsion bar as the optimization object. After that, it obtains the Pareto solution set by solving the multi-objective model with MNSGA-III. The only optimal solution selected from the Pareto solution set is compared with the traditional design scheme of an anti-rolling torsion bar.

Findings

The MNSGA-III converges faster than NSGA-III. Besides, MNSGA-III has better diversity of Pareto solutions than NSGA-III and is closer to the ideal Pareto frontier. Comparing with the results before the optimization, it shows that the volume of the anti-rolling torsion bar reduces by 1.6 percent and the stiffness increases by 3.3 percent. The optimized data verifies the effectiveness of this method proposed in this paper.

Originality/value

The simulated binary crossover operator and polynomial mutation operator of NSGA-III are changed into an arithmetic crossover operator and an adaptive mutation operator, respectively, which improves the optimization performance of the algorithm.

Details

International Journal of Structural Integrity, vol. 12 no. 1
Type: Research Article
ISSN: 1757-9864

Keywords

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